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Location: Dearborn, Michigan (MI)
Contract Type: C2C,W2
Posted: 17 hours ago
Closed Date: 04/23/2026
Skills: Python, SQL, and Terraform,IT Solutions · GCP · Cloud Computing · Artificial Intelligence & Expert Systems
Visa Type: NO H1s

Title: Artificial Intelligence Senior Specialist pvw2

Work location: Dearborn, MI

NO H1s

Resources will be in office 4 days a week in Dearborn, MI


Job Description: 

Technical Requirements - Must-Have (Minimum Qualifications):

·   Total Experience: 6–8 years in Software or Data Engineering, with a strong emphasis on Python-based application development.

·   AI Specialization: 2–4 years of hands-on experience building with LLMs, GPT-based APIs, or Vector Databases , Fine Tuning LLMs,

·   Cloud Mastery: Extensive experience with GCP (preferred), including BigQuery, Vertex AI, and Cloud Run, Postgres.

·   Systems Design: Proven ability to design OLTP and OLAP patterns and document complex information flows.

·   Tooling: Expert proficiency in Python, SQL, and Terraform.

·   Modern AI Architectures: Experience with MCP (Model Context Protocol), RAG, LangChain, Google Agent Development Kit (ADK)

·   Other: Rest API development using Flask/Flask API Key Responsibilities

·   AI Orchestration & Agentic Workflows: Architect and deploy agentic AI workflows and RAG solutions. Move beyond simple prompting to build systems capable of multi-step reasoning and tool-use.

·   Data Product Engineering: Design and implement high-performance analytical data products using streaming (Pub/Sub, Dataflow) and batch patterns, ensuring data is "AI-ready."

·   Infrastructure as Code (IaC): Own and scale cloud infrastructure using Terraform. Prioritize security, cost-optimization, and automated environment provisioning.

·   LLMOps & Pipeline Monitoring: Build robust pipelines that monitor not just data quality, but AI model performance, latency, and drift in production.

·   Engineering Excellence (DevOps/TDD): Operate within an Agile environment using Test-Driven Development (TDD). Maintain rigorous code quality standards via SonarQube, Checkmarx, and Cycode integrated with CI/CD pipelines and GitHub Actions.

·   Governance & Lineage: Implement enterprise-grade data protection and sharing models. Map complex data lineages to ensure compliance and traceability.

·   Production Reliability: Provide Tier 3 support for production AI services, ensuring uptime and performance according to established SLAs.

Skills Required:

·   IT Solutions

·   GCP

·   Cloud Computing

·   Artificial Intelligence & Expert Systems

Skills Preferred:

·   SQL

·   Python